Thomas Robinson

Thomas Robinson is an Assistant Professor in the Department of Methodology at the London School of Economics (LSE). Previously, he held positions at Durham University's Centre for Institutions and Political Behavior and collaborated with Meta's Core Data Science team. He earned his DPhil in Politics from the University of Oxford in 2020.

His research focuses on machine learning applications in political methodology, including neural network modeling, causal inference, and experimental design. Key themes include voter behavior, money in politics, and pandemic-related policy preferences. Collaborations span education policy and tech sectors, with ongoing projects on synthetic data and missing-data imputation using deep learning.

Notable works include analyzing voter responses to campaign finance disclosures and studying pandemic impacts on global economic preferences. He develops open-source tools like MIDASpy and rMIDAS for data imputation. Affiliations include LSE's Data Science Institute.